A proposed artificial intelligence tool to support clinician decision-making about hospital patients at risk for sepsis has an unusual feature: It can account for its lack of certainty and suggest what demographic data, vital signs and lab test results it needs to improve its predictive performance.
Human-centered AI tool to improve sepsis management can identify missing information
